コンピューター

The computing elements and semiconductor chips that make up a computer

Computational elements and semiconductor chips that make up computers utilized for digital transformation, artificial intelligence, and machine learning tasks (switching, MOSFETs, disjunction, conjunction, negation, silicon, statistical physics, dopants, periodic table, binary operations, Boolean algebra, bits, bytes)

2023.02.25

アーキテクチャコンピューター人工知能:Artificial Intelligence

Server Technologies

Server technologies (nginx, Microsoft Internet Information Server (IIS), LightSpeed, lighthttpd, CERN httpd, NCSA HTTPd, Apache server, LAMP, event-driven, prefork-type) used for digital transformation, artificial intelligence, machine learning tasks

2023.02.19

web技術:web technologyコンピューター

AWS Cloud Service Design Patterns (3)

AWS Cloud Service Design Patterns utilized for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Operations and Maintenance Patterns, Bootstrap, Cloud DI, Stack Development, Server Swapping, Monitoring Integration, Weighted Transition, Log Aggregation, Ondemand Activation, Network Patterns, Backnet, Functional Firewall, and Operational Activation). Monitoring Integration, Weighted Transition, Log Aggregation, Ondemand Activation, Network Patterns, Backnet, Functional Firewall, Operational Firewall, Multi Load Balancer, WAF Proxy, CloudHub, Sorry Page, Self Registration, RDP Proxy, Floating Gateway, Shared Service, High Availability NAT)

2023.02.14

アーキテクチャコンピューターネットワーク技術

Protected: On cloud-native and service-centric development

On cloud-native and service-centric development leveraged for digital transformation, artificial intelligence, and machine learning tasks inter-organizational, siloed, KPIs, business value, Conway's Law, organizational restructuring, process reform, CNCF Incubating Stage, CNCF Graduate Stage, CNCF Sandbox Stage, Technical Oversight Committee, End User Advisory Board, Cloud Native Application Development, Kubernetes Application Modernization, The Twelve-Factor App, 12 Application Principles, Container Orchestration, APIs, Service Based Architecture, SOA, Service Oriented Architecture, Microservices, Sparse Coupling, Delivery Performance, MTTR, Lead Time, Change Loss Rate, Deployment Frequency, Docker

2023.02.13

web技術:web technologyアーキテクチャコンピューターマルチエージェントシステムユーザーインターフェース/データビジュアライゼーション

AWS Cloud Service Design Patterns (2)

AWS Cloud Service Design Patterns used for Digital Transformation, Artificial Intelligence and Machine Learning tasks (Data Upload Patterns, Write Proxy, Storage Index, Direct Object Upload, Relational Database Patterns, DB Replication, Read Replica, Inmemory DB Cache, Sharing Write, Asynchronous Processing, Batch Processing Patterns, Queuing Chain, Priority Queue, Job Observer, Fanout)

2023.01.31

アーキテクチャコンピューター

Various approaches to realize optical computers

Various approaches to realize optical computers to exploit digital transformation, artificial intelligence, and machine learning tasks (fractals, ultra-high definition spatial light modulators, stereoscopic images, self-reproducing software, self-reproducing hardware, Spatial Light Modulator, SLM, Spatial Modulator, Colloidal diamond, Plastic, Photonic crystal, Diamond, 5D data storage, Nanostructure, Superman Memory Crystal, Superman, Fortress of Solitude)

2023.01.21

コンピューターテクノロジー:Technology読書

Protected: Setup of Terraform, an infrastructure management tool

Setup of Terraform, an infrastructure management tool used for digital transformation, artificial intelligence, and machine learning tasks (git-secrets, dockernized Terraform, AWS credentials, team development tfenv, Homebrew, AWS CLI, AWS Management Console, access key ID, secret access key, python, Identity and Access Management, AWS, environment setup)

2023.01.17

web技術:web technologyアーキテクチャコンピューターネットワーク技術マルチエージェントシステムユーザーインターフェース/データビジュアライゼーション

AWS Cloud Service Design Patterns (1)

AWS Cloud Service Design Patterns for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Snapshot, Stamp, Scale Up, Scale Out, Ondemand Disk, Multi-Server, Multi-Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, and Datacenter). Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, Cache Proxy, Scheduled Scale Cache Proxy, Scheduled Scale Out, IP Pooling, Web Storage, Direct Hosting, Private Distribution, Cache Distribution, Rename Distribution, Private Cache Distribution, Latency Based Origin)

2023.01.16

アーキテクチャコンピューター

Introduction and configuration of Apache Spark for distributed data processing

Deployment and configuration of Apache Spark to enable distributed data processing for digital transformation, artificial intelligence and machine learning tasks (NodeManager, YARN, spark-master, ResourceManager, spark-worker, HDFS, NameNode, DataNode, spark-client, CDH5.4, haddop, Yum, CentOS) spark-worker, HDFS, NameNode, DataNode, spark-client, CDH5.4, haddop, Yum, CentOS)

2022.12.13

IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyアーキテクチャコンピューター時系列データ解析

Deploying and Operating Microservices – Docker and Kubernetes

Deployment and operation of microservices leveraged for digital transformation, artificial intelligence and machine learning tasks - Docker and Kubernetes minikube, containers, deployment, kube-ctl, rolling-upgrade, auto-bin packing, horizontal scaling, scale-up, scale-down, self-healing, kubelet, kube-apiserver, etcd, kube-controller- manager, kube- scheduler, pod, kube-proxy, Docker CLI, the Docker Registry, cgroups, Linux kernel, kernel namespace, union mount option, Hypervisor

2022.12.12

アーキテクチャコンピューターネットワーク技術マルチエージェントシステム